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Feature/exploratory data analysis #93

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Feature/exploratory data analysis #93

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a0c33a9
add group names
SilviaGworit Apr 24, 2024
fa56e01
Merge pull request #1 from MyraKadenge/feature/repo-setup
MyraKadenge Apr 24, 2024
99ea04d
add overview of project and begin data preparation
MyraKadenge Apr 25, 2024
b13a4ba
Merge pull request #2 from MyraKadenge/feature/data-cleaning
MyraKadenge Apr 25, 2024
edf7fd7
Transform view column from object to integer
MyraKadenge Apr 25, 2024
0532dd1
Merge pull request #3 from MyraKadenge/feature/data-cleaning
MyraKadenge Apr 25, 2024
a5e5332
update business overview, business understanding and data understandi…
MyraKadenge Apr 26, 2024
0ba6d8b
drop unnecessary columns
MyraKadenge Apr 26, 2024
1d0ea95
check percentages of missing values
MyraKadenge Apr 26, 2024
f53df61
finish handle missing values
MyraKadenge Apr 26, 2024
52bad8e
correct transformed values and change back to categorical variables
MyraKadenge Apr 26, 2024
ae9cc46
Merge pull request #4 from MyraKadenge/feature/data-cleaning
MyraKadenge Apr 26, 2024
09231a7
add eda libraries
FrankOyugi Apr 26, 2024
909e6ad
list your columns
FrankOyugi Apr 26, 2024
a77318f
perform linearity check
FrankOyugi Apr 26, 2024
8da2829
perform correlation check
FrankOyugi Apr 26, 2024
a17f309
show frequency distribution
FrankOyugi Apr 26, 2024
af62e83
analyse categorical data
FrankOyugi Apr 26, 2024
288f5bd
Data Exploration Complete
FrankOyugi Apr 27, 2024
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